Claw Screener

Stock screener combining Williams %R oversold signals with Warren Buffett-style fundamental analysis. Supports US (S&P 500) and Thai (SET) markets.

A stock screener that combines technical analysis (Williams %R oversold signals) with Warren Buffett-style fundamental analysis using SEC data. Supports US (S&P 500) and Thai (SET) markets.

When to Use This Skill

Use this skill when you need to:

• Find oversold stocks with strong fundamentals
• Screen for quality stocks using Buffett's 10 formulas
• Screen for long-term compounders using Carlson filters (ROIC, growth, buybacks)
• Analyze individual stocks for investment decisions
• Get daily stock screening results in text, JSON, or Telegram format

Tools

This skill provides the following capabilities:

1. Combined Screening

Finds stocks that are both technically oversold (Williams %R < -80) and fundamentally strong (Buffett score >= threshold).

Command:

text

bun run src/screening.ts [options]

Options:

Flag	Description	Default
--market	Market: us or bk	us
--min-score	Minimum Buffett score (0-10)	5
--top-n	Number of results to show	10
--format	Output: text, json, telegram	text

Examples:

text

bun run src/screening.ts
bun run src/screening.ts --market us --min-score 7 --top-n 5
bun run src/screening.ts --market bk
bun run src/screening.ts --format json
bun run src/screening.ts --format telegram

2. Technical Only Scan

Fast oversold scan using Williams %R indicator only. No SEC data required. Works for both US and Thai markets.

Command:

text

bun run src/technicalOnly.ts [options]

Options:

Flag	Description	Default
--market	Market: us or bk	us
--threshold	Williams %R threshold	-80
--top-n	Number of results to show	20
--format	Output: text, json, telegram	text

Examples:

text

bun run src/technicalOnly.ts
bun run src/technicalOnly.ts --threshold -70 --top-n 50
bun run src/technicalOnly.ts --market bk

3. Analyze Stock

Deep analysis of a single stock using Buffett's 10 formulas.

Command:

text

bun run src/analyze.ts <ticker> [options]

Options:

Flag	Description	Default
--format	Output: text, json, telegram	text

Examples:

text

bun run src/analyze.ts AAPL
bun run src/analyze.ts MSFT --format telegram
bun run src/analyze.ts GOOGL --format json
bun run src/analyze.ts PTT.BK

4. Compounding Machine

Screens for "compounders" using Carlson-style filters:

• Revenue and net income YoY trend strength
• ROIC threshold (default >15%)
• Share count reduction over 3 years (buyback signal)
• Operating margin threshold (default >20%)
• Includes current yield vs 5-year average and a simple 10-year DCF context

Command:

text

bun run src/compoundingMachine.ts [options]

Options:

Flag	Description	Default
--market	Market universe: us or bk	us
--tickers	Comma-separated tickers (overrides market universe)	-
--max-tickers	Limit universe size	all
--top-n	Number of passing stocks to show	25
--concurrency	Parallel fetch workers	4
--format	Output: text or json	text
--db-path	SQLite cache path	sec_cache.db
--ttl-days	Cache TTL in days	7
--min-roic	ROIC threshold (%)	15
--min-op-margin	Operating margin threshold (%)	20
--min-buyback	Required 3Y share reduction (%)	2
--show-rejected	Include failed tickers with reasons in output	off

Examples:

text

bun run src/compoundingMachine.ts
bun run src/compoundingMachine.ts --tickers AAPL,MSFT,NVDA --top-n 10
bun run src/compoundingMachine.ts --format json --max-tickers 100
bun run src/compoundingMachine.ts --tickers PLTR --show-rejected

Runtime / Caching Notes:

• First uncached run on full US universe can take ~20-30+ minutes.
• This is expected: each ticker requires multiple Yahoo fundamentals/quote requests and retry backoff for rate-limit resilience.
• Subsequent runs are much faster due to SQLite caching (sec_cache.db, TTL default 7 days).
• For quick checks, run smaller scans first (for example --max-tickers 50 or specific --tickers).

Agent Guidance for User Messaging:

• If user runs full-universe Compounding Machine scan, explicitly warn that initial run may take ~20-30 minutes.
• Suggest quick-test alternatives while waiting:
  • bun run src/compoundingMachine.ts --max-tickers 50
  • bun run src/compoundingMachine.ts --tickers AAPL,MSFT,NVDA

5. Watchlist Management

Track stocks you're interested in and get alerts when they become oversold or overbought.

Command:

text

bun run src/watchList.ts <command> [options]

Commands:

Command	Description
add <ticker>	Add a stock to your watchlist
remove <ticker>	Remove a stock from your watchlist
list	Show all watched stocks

Options:

Flag	Description	Default
--market us|th	Market: us (US) or th (Thai)	us
--notes '...'	Optional notes for the stock	-
--alert-threshold	Williams %R threshold for alerts	-

Examples:

text

bun run src/watchList.ts add AAPL
bun run src/watchList.ts add AAPL --market us --notes 'Big tech'
bun run src/watchList.ts add PTT.BK --market th
bun run src/watchList.ts remove AAPL
bun run src/watchList.ts list
bun run src/watchList.ts list --market us

Storage: Watchlist is saved to ~/.claw-screener-watchlist.json

Buffett's 10 Formulas

The fundamental analysis evaluates stocks against Warren Buffett's criteria:

#	Formula	Target	Description
1	Cash Test	> Total Debt	Cash covers all debt
2	Debt-to-Equity	< 0.5	Low leverage
3	Return on Equity	> 15%	Efficient use of capital
4	Current Ratio	> 1.5	Short-term liquidity
5	Operating Margin	> 12%	Operational efficiency
6	Asset Turnover	> 0.5	Asset efficiency
7	Interest Coverage	> 3x	Ability to pay interest
8	Earnings Stability	Positive	Consistent profitability
9	Free Cash Flow	> 0	Cash generation
10	Capital Allocation	> 15% ROE	Management effectiveness

Scoring: Each passing formula earns 1 point. Maximum score: 10/10.

Technical Indicator

Williams %R (Williams Percent Range)

• Range: -100 to 0
• Oversold: < -80 (potential buy signal)
• Overbought: > -20 (potential sell signal)

Combined Score Formula

Combined score = (Technical Score × 0.3) + (Fundamental Score × 0.7)

• Technical Score: (Williams %R + 100) / 100
• Fundamental Score: (Buffett Score / 10) × 100

Data Sources

• US Stocks: SEC EDGAR for fundamentals, Yahoo Finance for prices
• Thai Stocks: Yahoo Finance only (no SEC data available)

Installation

Runtime Requirements

• Bun (>=1.3.1) - Required runtime for executing TypeScript scripts
• Node.js is NOT required as Bun provides all necessary runtime functionality

Install Bun

If you don't have Bun installed, run:

bash

# macOS/Linux
curl -fsSL https://bun.sh/install | bash

# Windows (PowerShell)
iwr https://bun.sh/install -outfile "install.ps1"; ./install.ps1

Install Dependencies

bash

bun install

File Persistence

This skill creates and manages the following files:

File	Location	Purpose	TTL
Watchlist	~/.claw-screener-watchlist.json	User's stock watchlist	Permanent
SEC Cache	sec_cache.db	Cached SEC EDGAR financial data	7 days (default)
Price Cache	price_cache.db	Cached stock price data	1 day (default)

Cache Management

• Cache files are automatically created on first run
• Use --ttl-days flag with compounding machine to adjust cache TTL
• Cache files can be deleted to force fresh data fetch
• Cache improves performance significantly on subsequent runs

Notes

• First run on full US universe can take ~20-30+ minutes (expected behavior)
• Subsequent runs are much faster due to caching
• For quick tests, use --max-tickers 50 or specific --tickers

Bun Scripts

bash

bun run dev              # Run screening (alias for bun run src/screening.ts)
bun run screening        # Run combined screening
bun run technical        # Run technical-only scan
bun run analyze          # Analyze a stock (requires ticker argument)
bun run compounder       # Run Compounding Machine screener
bun run watchlist:add    # Add stock to watchlist
bun run watchlist:remove # Remove stock from watchlist
bun run watchlist:list   # List watched stocks

Output Format Examples

Text (Default)

text

📊 Combined Quality Screening (US (S&P 500))
Technical: Oversold signals (Williams %R < -80)
Fundamental: Warren Buffett's 10 formulas on SEC data
Minimum Buffett Score: 5/10

Results:
  Total Scanned: 503
  Oversold Found: 42
  Quality Stocks: 8 (Buffett ≥5/10)

Top 10 Opportunities:

1. AAPL   — Combined: 85.2% | Buffett: 8/10 | WR: -82.3
2. MSFT   — Combined: 79.1% | Buffett: 7/10 | WR: -85.1

Telegram

text

📊 Combined Quality Screening (US (S&P 500))
Scanned: 503 stocks
Oversold: 42
Quality (Buffett ≥5/10): 8

🌟 Top 10 Quality Opportunities:

1. **AAPL** — Combined: 85% | Buffett: 8/10 | WR: -82.3
2. **MSFT** — Combined: 79% | Buffett: 7/10 | WR: -85.1